Extraction of Poetic and Non-Poetic Relations From of-Prepositions Using WordNet

Autor: Christiana Panayiotou

Publikováno v: IEEE Access, Vol 10, Pp 3469-3494 (2022)

The main goal of this paper is to extract the semantic relations underpinning the concepts of English prepositional of-constructions derived from poetic and non-poetic datasets, using Princeton WordNet. The problem is addressed by two different algor

Externí odkaz: https://doaj.org/article/9a96f778b012432a8637c7d378fbfa61

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Descriptive Sentence Extraction for Text to 3D Scene Generation

Autor: V. Bova (1), E. Cardillo (2)

Publikováno v: The Fourth International Conference on Big Data, SmallData, Linked Data andOpen Data (ALLDATA)-International Workshop on Knowledge Extraction and Semantic Annotation (KESA2018), 22-26/04/2018, Athens, Greece
info:cnr-pdr/source/autori:V. Bova (1), E. Cardillo (2)/congresso_nome:The Fourth International Conference on Big Data, SmallData, Linked Data andOpen Data (ALLDATA)-International Workshop on Knowledge Extraction and Semantic Annotation (KESA2018)/congresso_luogo:22-26%2F04%2F2018/congresso_data:Athens, Greece/anno:2018/pagina_da:/pagina_a:/intervallo_pagine

Three-dimensional objects (3D) allow extensive and heterogeneous information to be stored in single models which can be exploited by users to satisfy various research and study needs. Moreover, the 3D visualization would be even more interesting if i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::3f5d5f07f2fa8091efac9c2d37b5be2f
https://publications.cnr.it/doc/399934

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